IBM Banking and Financial Markets Data Warehouse

Address business and regulatory requirements

CCAR FRY 14-M

As part of the Federal Reserve disclosure requirements in support of the Comprehensive Capital Analysis & Review (CCAR), significant Bank Holding Companies and Intermediate Holding Companies are expected to file monthly quantitative assessments of their portfolios as defined in the reporting form FRY-14M. IBM Banking and Financial Markets Data Warehouse, V8.10 has been updated to include full glossary and data model support for the latest version of the FRY-14 monthly disclosures.

Asset liability management and liquidity risk

Given the recent focus on long term funding requirements for Liquidity Risk, the IBM Banking and Financial Markets Data Warehouse, V8.10 Glossary now includes the specific alignment of the fundamental characteristics of Asset Liability Management (ALM) and Liquidity Risk information with the Glossary model. This allows customers to isolate and unify the description of the information required by ALM & Liquidity Risk solutions.

FATCA

FATCA was introduced to prevent U.S. persons and entities from evading income tax by holding assets through foreign accounts. The FATCA legislation document, related tax forms and the set of documents concerning the Inter Governmental Agreements have been analyzed in depth in order to identify the key, critical business data elements, which exist within them, and represented in the Model.

Basel II / III Framework support

Central to a successful risk data aggregation and reporting solution is the design of a reliable data warehouse model. The model must be extensive to cover all the risk aspects of the financial institution while allowing for the adaptability of local supervisory and long-term regulatory changes. The IBM Model is the design for a consolidated enterprise risk solution, incorporating all aspects of the risk data from credit, market, liquidity and operational risk.

GDPR

Provide an industry-specific vocabulary that can help discover and govern privacy data. It includes KPI templates for regulatory reporting and a hierarchy of General Data Protection Regulation (GDPR) terminology. The glossary and underlying data warehouse models help organizations ensure that their enterprise data architecture is able to provide the necessary data artifacts to report on data protection issues. It can help determine and define which personal data types their business uses.

Payments analysis

The Banking and Financial Markets Data Warehouse Models supports analytical capabilities in the area of payments. It provides extensive description of the elements of payments with specific analytical requirements to describe the typical reporting patterns of commercial payments. The focus is particularly on commercial payments, however many aspects of the analytical requirements defined are also relevant to retail payments.